genpark-structural-causal-model-dag-interventional-engine-skill
mcp
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GenPark AI Agent Skill - Structural Causal Model (SCM) DAG engine evaluating observational distributions and simulating Pearl's do-calculus interventions.
README.md
GenPark Structural Causal Model DAG Interventional Engine Skill
Structural Causal Model (SCM) DAG engine evaluating observational distributions and simulating Pearl's do-calculus interventions.
Read more at GenPark and the GenPark MCP Catalog.
graph TD
S[Seasonality] -->|Causal| M[MarketingSpend]
S -->|Direct Confounder| T[WebTraffic]
M -->|Causal| T
T -->|Causal| R[Revenue]
style S fill:#e1f5fe
style M fill:#fff9c4
style T fill:#c8e6c9
style R fill:#d1c4e9
Features
- Pure Python standard library causal DAG representation.
- Pearl's do(X = x) graph surgery removing incoming directed edges.
- Exact structural state propagation across endogenous networks.
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